Analyzing Indian healthcare data with big data

  • Authors

    • R Venkateswara Reddy
    • Dr D. Murali
    2018-08-24
    https://doi.org/10.14419/ijet.v7i3.29.18467
  • Big Data, Healthcare, Hadoop, Pig Latin, HDFS, Map Reduce.

  • Big Data is the enormous amounts of data, being generated at present times. Organizations are using this Big Data to analyze and predict the future to make profits and gain competitive edge in the market. Big Data analytics has been adopted into almost every field, retail, banking, governance and healthcare. Big Data can be used for analyzing healthcare data for better planning and better decision making which lead to improved healthcare standards. In this paper, Indian health data from 1950 to 2015 are analyzed using various queries. This healthcare generates the considerable amount of heterogeneous data. But without the right methods for data analysis, these data have become useless. The Big Data analysis with Hadoop plays an active role in performing significant real-time analyzes of the enormous amount of data and able to predict emergency situations before this happens.

     

     

  • References

    1. [1] “More CMOs Feeling Unprepared For the ‘Data Explosion.’†Marketing Charts, 4 July 2017, www.marketingcharts.com/digital-37207.

      [2] Katal, Avita, et al. “Big Data: Issues, Challenges, Tools and Good Practices.†2013 Sixth International Conference on Contemporary Computing (IC3), 2013, doi:10.1109/ic3.2013.6612229.

      [3] Sivarajah, Uthayasankar, et al. “Critical Analysis of Big Data Challenges and Analytical Methods.†Journal of Business Research, vol. 70, 2017, pp. 263–286., doi:10.1016/j.jbusres.2016.08.001.

      [4] Beakta, Rahul. (2015). Big Data and Hadoop: A Review Paper. International journal of computer science & information te. 2.

      [5] Olston, Christopher, et al. “Pig Latin†International Conference on Management of Data SIGMOD, 2008, doi:10.1145/1376616.1376726.

      [6] Jin, Xiaolonget al., (2015). Significance and Challenges of Big Data Research.

      [7] Al Aghbari, Zaher. (2015). Mining Big Data - Challenges and Opportunities. ICEIS 2015 - 17th International Conference on Enterprise Information Systems, Proceedings. 1. 379-384. 10.5220/ 0005463803790384.

      [8] Manpreet Singh et.al (2017), “Big data analytics: Solution to healthcareâ€, 2017 International Conference on Intelligent Communication and Computational Techniques (ICCT), pp: 239 – 241.

      [9] M. D. Anto Praveena & B. Bharathi (2017), “A survey paper on big data analyticsâ€, 2017 International Conference on Information Communication and Embedded Systems (ICICES), and pp: 1-9.

      [10] Li Zhu et.al (2018), “Big Data Analytics in Intelligent Transportation Systems: A Surveyâ€, ISSN: 1524-9050, pp: 1-16.

      [11] Sohail Jabbar et.al (2018), “A Methodology of Real-Time Data Fusion for Localized Big Data Analyticsâ€, ISSN: 2169-3536, Volume 6, pp: 24510 – 24520.

      [12] Rua-Huan Tsaih et.al (2018), “The use of big data analytics to predict the foreign exchange rate based on public media: A machine-learning experimentâ€, ISSN: 1520-9202, Volume 20, issue 2, pp: 34-41.

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  • How to Cite

    Venkateswara Reddy, R., & D. Murali, D. (2018). Analyzing Indian healthcare data with big data. International Journal of Engineering & Technology, 7(3.29), 88-90. https://doi.org/10.14419/ijet.v7i3.29.18467